Secoda Raises 140 Million Yuan to Integrate AI Search into Enterprise Data Management

Translated data: Canadian company Secoda has successfully raised $14 million in funding, aiming to apply AI technology to enterprise data search and management, helping businesses tackle data fragmentation and management challenges. Secoda's AI platform has already achieved significant results, enhancing data utilization and saving a considerable amount of time. Additionally, the company plans to intensify its AI research and development efforts and introduce Secoda Monitoring to improve data quality.

Israeli Startup AI21 Labs Secures $155 Million in Funding with Participation from Google and Nvidia

Israeli startup AI21 Labs announced the completion of $155 million in funding, with Google and Nvidia also participating. AI21 Labs focuses on customized generative AI models, boasting its own large model, Jurassic-2, competing with OpenAI to provide more accurate and reliable text generation services.

Google's AGI Robot Breakthrough: 54 - Member Team's 7 - Month Work, High Generalization and Reasoning 解释：核心关键词为“谷歌AGI机器人”（Google's AGI Robot）和“新成果”（Breakthrough），标题简洁地概括了主要内容，以动词开头，符合英文习惯，且长度在规定范围内。

The robotics research team at Google DeepMind recently released a robotics project called RT-2. This project took 7 months to develop and uses a large model for training. RT-2 has capabilities such as symbol understanding, reasoning, and human recognition, and can think and complete tasks based on human instructions. By combining the large model with the robot's operational capabilities, RT-2 can accomplish tasks that involve logical leaps, such as from 'extinct animals' to 'plastic dinosaurs'. The results of this project performed well in various sub - category tests, with performance up to three times that of the previous generation of robot models. This research result demonstrates the potential of large models in robotics research and is expected to drive the development of robots in the future.

RWKV: Small Team Aims to Be Android of AI Era with Big Model

Meta Intelligence OS is a startup founded by Bloomberg. It has developed a series of large models based on the open-source model RWKV and aims to become the Android in the era of large models. The RWKV model has superior performance and low cost in inference tasks, thus attracting customers from industries such as finance, law firms, and smart hardware. The business model of Meta Intelligence OS is model customization based on private data and internal AI Agent development. The company hopes to solve the problems of API call latency and data security by deploying large models on terminal devices. Currently, RWKV versions are available on Windows, Mac, and Linux computers, and Android and iOS versions are also in development. Meta Intelligence OS is raising funds and collaborating with chip companies and computing power platforms to create benchmark customers. Luo Xuan said that the decisive battlefield for large models is on hardware, and both terminal devices and the cloud require dedicated chips.

MIIT New Rule: Intelligent Driving Assistance Systems Must Restrict Non-Standard Use

On February 28, the Ministry of Industry and Information Technology (MIIT) issued the "Management and Technical Guidelines for the Access, Recall, and Online Software Upgrade of Intelligent Connected Vehicle Products," clearly requiring that intelligent connected vehicle systems should have strategies to prohibit the activation of corresponding functions when the driver does not use the combined driving assistance functions in a standard manner. This new regulation aims to further improve the safety and controllability of intelligent driving assistance systems. According to the guidelines, intelligent connected vehicle systems need to have clear activation, execution, and exit strategies. For driving assistance functions, when the system detects that the driver is detached from the dynamic driving task, fails to respond to warnings, and...

Secoda Raises 140 Million Yuan to Integrate AI Search into Enterprise Data Management

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